Journal of IKEEE (전기전자학회논문지)

Institute of Korean Electrical and Electronics Engineers (한국전기전자학회)
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A Study on Diagnosis of BLDC motor and New data-set Feature Extraction using Park's Vector Approach

Park's Vector Approach를 이용한 BLDC모터진단 방법과 새로운 데이터 셋 특징 추출 연구

  • Goh, Yeong-Jin (Dept. of Electrical Engineering, Tongmyong University) ;
  • Kim, Ji-Seon (Dept. of Electrical and Semiconductor Engineering, Chonnam National University) ;
  • Lee, Buhm (Dept. of Electrical and Semiconductor Engineering, Chonnam National University) ;
  • Kim, Kyoung-Min (Dept. of Electrical and Semiconductor Engineering, Chonnam National University)
  • Received : 2022.03.02
  • Accepted : 2022.03.22
  • Published : 2022.03.31
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Abstract

In this paper, we propose a new dataset for AI diagnosis and BLDC motor diagnosis in UAV. In the diagnosis of BLDC motor, PVA(Park's Vector Approach) is difficult to apply due to many ripples of frequency components. However, since the components of ripples are the third harmonics, we propose a method to utilize PVA as circle fitting by applying Savitzky-Golay filter which is excellent for the third harmonics. On the other hand, PVA, a technique to convert from three-phase to two-phase, is always based on the origin during the transformation process. This study demonstrates that the error of the origin and the measured center can be detected and diagnosed in the application process of Circle fitting, and that it can be used as a new data set of AI technology.

본 논문에서는 UAV의 BLDC 모터 진단방법과 AI진단을 위한 새로운 데이터 셋을 제안하였다. BLDC모터 진단에 있어서 PVA(Park's Vector Approach)는 주파수 성분의 많은 리플로 인해 적용이 어려움이 따르나, 리플의 성분이 3조파를 띄고 있음에 따라 3조파에 뛰어난 SG(Savitzky-Golay)필터를 적용하여 Circle fitting으로 PVA를 활용하는 방법을 제안하였다. 한편, 3상에서 2상으로 변환시키는 기법인 PVA는 변환과정 중 항상 원점을 기준으로 두게 된다. 이에 Circle fitting의 적용과정에서 원점과 측정된 중심점의 오차를 측정하여 고장진단이 가능하도록 하였다. 또한, 이때 측정된 오차의 offset 데이터 기반으로 AI기술의 새로운 데이터 셋으로 활용 가능함을 실험을 통해 입증하였다.

Keywords

Acknowledgement

This results was supported by "Regional Innovation Strategy (RIS)" through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(MOE)(Grant number: 2021RIS-002)

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